Model Predictive Direct Power Control for a grid-connected converter with an LCL-filter

Scoltock, James; Geyer, Tobias; Madawala, Udaya K.

doi:10.1109/icit.2013.6505737

Cited by 28 publications

(5 citation statements)

References 12 publications

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“…Longer prediction horizons gain more accurate decisions and improvements. Moreover, in [125], an active damping strategy via a virtual resistor concept is introduced, which can reduce the average switching losses by 17.3% in comparison with carrier‐based PWM.…”

Section: Issues and Alternative Fcs–mpc Methodsmentioning

confidence: 99%

“…The filter is a part of the prediction model, and it imposes some hardships for controlling the power converters that have to be taken into account. Inductor-capacitor-inductor (LCL) filters are broadly used in grid-tied power converters [22,[125][126][127][128][129]. This filter is capable of improving the harmonic attenuation presented by series inductors.…”

Section: Filtersmentioning

confidence: 99%

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Comprehensive study of finite control set model predictive control algorithms for power converter control in microgrids

Aghdam

Zhu

2020

IET Smart Grid

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Advances in power electronics and digital control open a new horizon in the control of power converters. Particularly, model predictive control has been developed for control applications in industrial electronics and power systems. This study presents a comprehensive study on recent achievements of model predictive control algorithms to overcome the challenges in the real-time implementation of power converter control, which is the lowest level control of hierarchical control in microgrids. The study shows that most of these alternate solutions can enhance system reliability, stability, and efficiency. The control platform devices for the real-time implementation of these algorithms are compared. The related issues are discussed and classified, respectively. Finally, a summary is provided, leading to some further research questions and future work.

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Section: Issues and Alternative Fcs–mpc Methodsmentioning

confidence: 99%

Section: Filtersmentioning

confidence: 99%

Comprehensive study of finite control set model predictive control algorithms for power converter control in microgrids

Aghdam

Zhu

2020

IET Smart Grid

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“…From equation (15), it can be obtained the power change of ESS to minimize the value of cost function:…”

Section: Zess (K) Is the Predicted Magnitude Of Equivalent Input Impementioning

confidence: 99%

“…MPC algorithms have been widely used in process control from last century, recently they are also applied to control of power converters and some switching power supplies [15]- [18]. This paper finds its novel application in energy management of renewable energy systems with ESS units.…”

Section: Introductionmentioning

confidence: 99%

An MPC-Based ESS Control Method for PV Power Smoothing Applications

Lei

Zhang

Wang

et al. 2018

IEEE Trans. Power Electron.

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Abstract-Random fluctuation in photovoltaic (PV) power plants is becoming a serious problem affecting the power quality and stability of the grid along with the increasing penetration of PVs. In order to solve this problem, by the adding of energy storage systems (ESS), a grid-connected microgrid system can be performed. To make this system feasible, this paper proposes a model predictive control (MPC) based on power/voltage smoothing strategy. With the receding horizon optimization performed by MPC, the system parameters can be estimated with high accuracy, and at the same time the optimal ESS power reference is obtained. The critical parameters, such as state of charge (SoC), are also taken into account in order to ensure the health and stability of the ESSs. In this proposed control strategy, communication between PVs and ESS is not needed, since control command can be calculated with local measured data. At the same time, MPC can make a great contribution to the accuracy and timeliness of the control. Finally, experimental results from a grid-connected lab-scale microgrid system are presented to prove effectiveness and robustness of the proposed approach. Index Terms-Energy storage, photovoltaic, power quality, model predictive control (MPC), power smoothing

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“…A topologia do inversor fonte de tensão (do ingles, voltage source inverter) (VSI) com filtro de saída LCL conectadò a rede elétrica, tem sido amplamente empregada para conexão de fontes renováveis ao sistema elétrico de potência (Scoltock et al, 2013b). O aumento da popularidade do uso do filtro LCLé dado por apresentar vantagens em relação aos filtros L e LC, como exemplo: peso, volume e custo reduzidos (Gomes et al, 2018;Monteiro, 2018); apresenta desempenho aprimorado em baixas frequências de comutação, sendo uma grande vantagem em aplicações de alta potência (Twining and Holmes, 2003;Lindgren and Svensson, 1998); melhor característica de filtragem (Scoltock et al, 2014).…”

Section: Introductionunclassified

Controle MPC com Amortecimento Ativo Aplicado a um VSI com Filtro LCL Conectado à Rede

Milani

Almeida

Barbosa

2020

Anais Do Congresso Brasileiro De Automática 2020

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O presente trabalho apresenta a aplicaçã do controle preditivo baseado em modelo com conjunto de controle finito (FCS-MPC) a um conversor com filtro LCL conectado a rede. Este controle prevê o comportamento futuro das variáveis de controle e, com essa informação, escolhe o melhor estado de comutação do conversor de acordo com a minimização de uma função custo. No entanto, é necessário elaborar o modelo matemático do sistema, onde foi desenvolvido utilizando o método de espaço de estados e posteriormente discretizado. Para amortecer a ressonância intrínseca do filtro LCL, e detalhado o projeto de uma estratégia de amortecimento ativo baseada no resistor virtual (VR), bem como a inclusão dessa restrição na função custo. Resultados de simulação são utilizados para validar o método proposto e mostrar sua eficácia.

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Model Predictive Direct Power Control for a grid-connected converter with an LCL-filter

Cited by 28 publications

References 12 publications

Comprehensive study of finite control set model predictive control algorithms for power converter control in microgrids

Comprehensive study of finite control set model predictive control algorithms for power converter control in microgrids

An MPC-Based ESS Control Method for PV Power Smoothing Applications

Controle MPC com Amortecimento Ativo Aplicado a um VSI com Filtro LCL Conectado à Rede

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